Quantum-Inspired Classification Based on Voronoi Tessellation and Pretty-Good Measurements
In quantum machine learning, feature vectors are encoded into quantum states. Measurements for the discrimination of states are useful tools for classification problems. Classification algorithms inspired by quantum state discrimination have recently been implemented on classical computers. We prese...
| Hlavní autoři: | , |
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| Médium: | Článek |
| Jazyk: | English |
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MDPI AG
2022-10-01
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| Edice: | Quantum Reports |
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| On-line přístup: | https://www.mdpi.com/2624-960X/4/4/31 |